Education :
Master’s degree in Computer Science, Data Engineering, or related field (Must have) Job Summary :
This job requires relocation to Saudi Arabia for 12 months. We are looking for a highly experienced
Data Architect
to lead the design and implementation of large-scale, hybrid data architectures optimized for telecom environments. The ideal candidate will architect and operationalize secure, scalable, and governed data platforms that enable enterprise-wide analytics, AI, and data democratization. Key Responsibilities :
Lead the
end-to-end architecture
for
hybrid data environments
(on-premise and cloud), optimized for
high-volume telco data
(e.g., customer usage, billing, network logs). Ensure architectural support for
real-time analytics ,
ML pipelines , and
BI dashboards
across business units. Define and maintain
reference architecture , standards, and frameworks to enable
data democratization
and
self-service analytics . Implement
metadata management ,
security , and
governance frameworks
in compliance with
telecom and national regulatory requirements . Work closely with
CIO / CTO teams ,
data engineers , and
business stakeholders
to align the data strategy with organizational goals. Enable cross-platform interoperability and
data integration across business domains
(CVM, AI, OSS / BSS, customer experience). Required Skills & Experience :
8+ years of hands-on experience designing and implementing
enterprise-scale data architectures . Proven expertise in
telecommunications data environments , including OSS / BSS systems, customer 360, and usage analytics. Experience with
hybrid cloud platforms
(e.g., AWS, Azure, GCP) and
on-prem solutions
(e.g., Cloudera, Teradata). Strong grasp of
data governance ,
privacy (PDPL, GDPR) ,
data security , and
metadata management
practices. Deep technical understanding of
data lakes ,
data warehouses ,
real-time data streaming , and
AI / ML enablement . Familiarity with
data mesh ,
data fabric , or other modern architectural paradigms.
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Data Architect • Riyadh, Saudi Arabia